Triple
T1720156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Availability Channel |
E37370
|
entity |
| Predicate | qualityUpdateType |
P31956
|
FINISHED |
| Object | cumulative updates |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: cumulative updates | Statement: [General Availability Channel, qualityUpdateType, cumulative updates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: qualityUpdateType Context triple: [General Availability Channel, qualityUpdateType, cumulative updates]
-
A.
upgradeType
Indicates the specific kind or category of improvement or enhancement applied to an entity relative to its previous state.
-
B.
upgradeStatus
Indicates the current state or progress of an upgrade process applied to an entity.
-
C.
upgradeFocus
Indicates a shift of attention or priority from a lower level or version to a higher, improved, or more advanced one.
-
D.
upgradeOption
Indicates that one entity serves as a possible improved or higher-level alternative to another entity.
-
E.
updated
Indicates that an entity has been modified or brought to a more recent state compared to its previous version or status.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab5c96db6c8190a745d6fef7bf2cdb |
completed | March 6, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69aa61bed2fc819086d912cd34285978 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab5c7780bc81909fc6e173a216cb0b |
completed | March 6, 2026, 11 p.m. |
Created at: March 4, 2026, 7:30 p.m.